Researchers unveil a novel approach using persistent homology and machine-learned force fields to map active phases in catalysis. Demonstrated on PdHx and PtOx systems, this method provides actionable insights for optimizing reactions. Explore this breakthrough to enhance your reaction design.

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Active phase discovery in heterogeneous catalysis via topology-guided sampling and machine learning